Direct employment by the client — you'll be a company employee from day one.

What if your next analysis could shape the way a B2C company grows? If you're passionate about turning complex data into meaningful business impact, this opportunity might be exactly what you're looking for.

Central Israel, Hybrid: 3 days in the office | 2 days from home

We're hiring a Senior Data Analyst

In this role, you'll take the analytical lead on a fast-growing B2C product, partnering closely with Product, Marketing, Data Science, and Business teams to drive customer acquisition, optimize performance, and support strategic growth.

What you'll be doing:

• Analyze customer behavior, acquisition funnels, and marketing performance.

• Lead deep-dive analyses and A/B testing initiatives.

• Build dashboards and visualizations that drive business decisions.

• Work with large-scale datasets and modern data platforms.

• Collaborate closely with cross-functional teams to transform data into measurable business impact.

Requirements:

• Professional Experience: 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments.

• SQL: High proficiency in SQL is required, including working with large and complex datasets.

• BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms.

• Data Infrastructure: Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery.

• Python: Practical knowledge of Python for data analysis and automation workflows.

• Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences.

• Execution: Ability to work independently, prioritize effectively, and drive data-informed decisions in a dynamic environment with tight deadlines.

Key Advantages (Nice to Have):

• Experience working in B2C or performance marketing environments.

• Experience building and maintaining ETL processes.

• Experience working closely with Data Science teams on experimentation and optimization initiatives.

• Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data-driven decision-making.

Good to know:

•• We work in a hybrid model: 3 days from the office and 2 days from home